Boost efficacy through connected ecosystem, AI & data-driven decision-making.

Data is the foundation for driving innovation, outcomes, efficiencies and experiences in life sciences. That said, life science data is very complex, siloed and to add to that there has been a deluge of data from various sources, that needs to be harnessed to drive innovative drugs/devices development and speed to market in a competitive marketplace.

Enterprise integration is crucial for seamless operations and tapping into the data deluge to drive connected and coordinated operations for improved efficiencies and outcomes aided by data-driven decision support. It can also significantly reduce administrative burdens and customer experiences.

Artificial intelligence (AI) is revolutionizing the life sciences industry by automating tasks, generating insights, and augmenting human decision-making, while keeping human-in-the-loop. However effective AI requires a reliable data foundation which in turn relies on connected ecosystems.

Coforge, with its breadth and depth of technical capabilities and domain knowledge, can help Life Sciences organizations implement cutting edge EAI, interoperability, data & AI solutions, including:

• Connected Enterprise strategy and implementation using industry leading EAI and API management tools, rationalizing existing integrations, implementing Golden API, etc.
• Data & analytics strategy and engineering across the data value chain including data ingestion, curation, enterprise data lakes, data monetization, visualization and reporting, leveraging prebuilt solution accelerators and industry principles such as FAIR, ALCOA+, etc. and common data models such as OMOP, FHIR, etc.
• AI engineering, including use of Gen AI coding copilots, infusion of Gen AI into core functionalities, developing predictive analytics models and ML Ops (AI factory model) to optimize pharma research and value chain operations as well as administrative functions. Connect with us to learn more about how we can help you on your enterprise informatics initiatives.